Title :
Algorithm of target tracking based on mean shift with RBF neural network
Author :
Bin, Zhou ; Junzheng, Wang ; Jiali, Mao
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
Abstract :
The limitation of Mean Shift algorithm under crossing occlusion is analyzed. To solve this problem, a new tracking algorithm using Mean Shift with RBF neural network is proposed. According to the formal information about the objectpsilas location, the iteration start position is found with RBF neural network. And the objectpsilas real center is calculated by Mean Shift algorithm. Experimental results show that the proposal algorithm is stable to solve the crossing occlusion problem, and the iteration number is reduced.
Keywords :
image motion analysis; object detection; radial basis function networks; target tracking; RBF neural network; crossing occlusion; mean shift algorithm; target tracking; Algorithm design and analysis; Information analysis; Information science; Neural networks; Proposals; Target tracking; Mean Shift algorithm; Motion object tracking; RBF neural network;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605198
